In many countries, the need for physical therapists to use standardised measures has been recognised and is recommended in clinical practice guidelines. Research has shown a lack of clinimetric knowledge and clinical application of measurement instruments in daily practice may hamper implementation of these guidelines. The aims of this study are 1) to investigate the current use of measurement instruments by Dutch physical therapists; 2) to investigate the facilitators and barriers in using measurement instruments.
Until the first part of the 20th century, health was defined as the absence of disease and was measured in terms of morbidity and mortality. This simple definition of health was rejected in 1948 with the expansion of the concept of health by the World Health Organization (WHO), defining it as “a state of complete physical, mental and social well-being and not merely the absence of disease or infirmity” (World Health Organization 1948).
Research Findings: A growing number of stakeholders in early childhood education (ECE) rely on self-assessment to assess and improve the quality of ECE. In this systematic review, we investigated the reliability and validity of self-assessment in ECE, summarizing findings from 27 publications. We meta-analytically synthesized findings from 25 publications for 1,882 groups and 79,163 children aged 0–72 months in center-based childcare. Most studies reported high internal consistency, but one study reported a lower consistency. Inter-rater reliability was generally high. A three-level meta-analysis (k = 13, ES = 45) revealed a positive association between self-assessment ratings and ratings with validated measures of ECE quality (r = .38), indicating a moderate convergent validity. Studies with lower methodological quality and published “peer reviewed” studies reported somewhat higher correlations between self-assessment ratings and ratings with validated measures. The meta-analytic correlation remained significant after removal of studies with lower methodological quality (r = .33) or studies from the “grey” literature (r = .44). A second meta-analysis (k = 16, ES = 71) with a focus on the predictive validity of self-assessment ratings showed a small significant association between self-assessed ECE quality and child outcomes (r = .09); there were no significant moderators. Practice or Policy: Despite empirical evidence for the validity of self-assessment, further studies are needed to investigate potential bias in self-assessment. Future studies should further explore the validity and reliability of self-assessment measures in ECE, including countries outside the United States.
National forestry Commission (SBB) and National Park De Biesbosch. Subcontractor through NRITNational parks with large flows of visitors have to manage these flows carefully. Methods of data collection and analysis can be of help to support decision making. The case of the Biesbosch National Park is used to find innovative ways to figure flows of yachts, being the most important component of water traffic, and to create a model that allows the estimation of changes in yachting patterns resulting from policy measures. Recent policies oriented at building additional waterways, nature development areas and recreational concentrations in the park to manage the demands of recreation and nature conservation offer a good opportunity to apply this model. With a geographical information system (GIS), data obtained from aerial photographs and satellite images can be analyzed. The method of space syntax is used to determine and visualize characteristics of the network of leisure routes in the park and to evaluate impacts resulting from expected changes in the network that accompany the restructuring of waterways.
Due to the existing pressure for a more rational use of the water, many public managers and industries have to re-think/adapt their processes towards a more circular approach. Such pressure is even more critical in the Rio Doce region, Minas Gerais, due to the large environmental accident occurred in 2015. Cenibra (pulp mill) is an example of such industries due to the fact that it is situated in the river basin and that it has a water demanding process. The current proposal is meant as an academic and engineering study to propose possible solutions to decrease the total water consumption of the mill and, thus, decrease the total stress on the Rio Doce basin. The work will be divided in three working packages, namely: (i) evaluation (modelling) of the mill process and water balance (ii) application and operation of a pilot scale wastewater treatment plant (iii) analysis of the impacts caused by the improvement of the process. The second work package will also be conducted (in parallel) with a lab scale setup in The Netherlands to allow fast adjustments and broaden evaluation of the setup/process performance. The actions will focus on reducing the mill total water consumption in 20%.
In the last decade, the automotive industry has seen significant advancements in technology (Advanced Driver Assistance Systems (ADAS) and autonomous vehicles) that presents the opportunity to improve traffic safety, efficiency, and comfort. However, the lack of drivers’ knowledge (such as risks, benefits, capabilities, limitations, and components) and confusion (i.e., multiple systems that have similar but not identical functions with different names) concerning the vehicle technology still prevails and thus, limiting the safety potential. The usual sources (such as the owner’s manual, instructions from a sales representative, online forums, and post-purchase training) do not provide adequate and sustainable knowledge to drivers concerning ADAS. Additionally, existing driving training and examinations focus mainly on unassisted driving and are practically unchanged for 30 years. Therefore, where and how drivers should obtain the necessary skills and knowledge for safely and effectively using ADAS? The proposed KIEM project AMIGO aims to create a training framework for learner drivers by combining classroom, online/virtual, and on-the-road training modules for imparting adequate knowledge and skills (such as risk assessment, handling in safety-critical and take-over transitions, and self-evaluation). AMIGO will also develop an assessment procedure to evaluate the impact of ADAS training on drivers’ skills and knowledge by defining key performance indicators (KPIs) using in-vehicle data, eye-tracking data, and subjective measures. For practical reasons, AMIGO will focus on either lane-keeping assistance (LKA) or adaptive cruise control (ACC) for framework development and testing, depending on the system availability. The insights obtained from this project will serve as a foundation for a subsequent research project, which will expand the AMIGO framework to other ADAS systems (e.g., mandatory ADAS systems in new cars from 2020 onwards) and specific driver target groups, such as the elderly and novice.
